关键词: 差分进化算法, 布谷鸟搜索算法, 混合算法, 非线性方程组

Abstract: In order to solve the basic differential evolutionary algorithm’s drawback, taking advantage of Cuckoo Search（CS） algorithm optimization capability, after finishing the selection operation in DE, going to the next iteration is indirect, the CS algorithm is introduced to continue the search, the particle search’s activity is improved and a new DE algorithm is got. Massive experiments of six standard benchmark functions suggest that this novel hybrid algorithm effectively overcomes the disadvantages of DE algorithm. It produces a conspicuous effect, which results in satisfactory outcome in experiments. The CS-DE method is applied to solving nonlinear equations and the numerical examples are proposed.

Key words: differential evolution algorithm, Cuckoo Search（CS） algorithm, hybrid algorithm, nonlinear equations